expanded_geese_detection Image Dataset
Versions
version 20 field images from Bogense added
v32
Dec 7, 2021
version 19 sample images from field
v31
Dec 3, 2021
version 18 removed unverifiable images
v30
Nov 16, 2021
version 17 without flock label
v29
Nov 12, 2021
version 16 images added
v28
Nov 5, 2021
version 15 improved bounding box
v27
Nov 1, 2021
version 14 image size 640px
v21
Oct 26, 2021
version 13 aspect ratio fit
v20
Oct 25, 2021
new version 13 4x bounding box
v19
Oct 22, 2021
version 13 4x bounding box
v18
Oct 22, 2021
version 12 4x bounding box only
v17
Oct 21, 2021
dataset version 11
v16
Oct 19, 2021
version 10 image and bounding box augmentation
v15
Oct 18, 2021
version 10 bounding box only augmentation
v14
Oct 18, 2021
added hue version 7
v13
Oct 15, 2021
added mosaic version 8
v12
Oct 14, 2021
version 7
v11
Oct 13, 2021
version 6
v10
Oct 12, 2021
version 5
v9
Oct 11, 2021
version 4
v6
Oct 7, 2021
version 3
v5
Oct 5, 2021
version 2 expanded
v3
Oct 3, 2021
version 2
v2
Oct 1, 2021
version 1
v1
Sep 30, 2021
v32
version 20 field images from Bogense added
Generated on Dec 7, 2021
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
2540 Total Images
View All Images
Dataset Split
Train Set 90%
2276Images
Valid Set 7%
167Images
Test Set 4%
97Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 4
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels
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